Five commonly used traditional Chinese medicine formulas in the treatment of ulcerative colitis:A network meta-analysis

BACKGROUND Currently,traditional Chinese medicine(TCM)formulas are commonly being used as adjunctive therapy for ulcerative colitis in China.Network meta-analysis,a quantitative and comprehensive analytical method,can systematically compare the effects of different adjunctive treatment options for ulcerative colitis,providing scientific evidence for clinical decision-making.AIM To evaluate the clinical efficacy and safety of commonly used TCM for the treatment of ulcerative colitis(UC)in clinical practice through a network metaanalysis.METHODS Clinical randomized controlled trials of these TCM formulas used for the adjuvant treatment of UC were searched from the establishment of the databases to July 1,2022.Studies that met the inclusion criteria were screened and evaluated for literature quality and risk of bias according to the Cochrane 5.1 standard.The methodological quality of the studies was assessed using ReviewManager(RevMan)5.4,and a funnel plot was constructed to test for publication bias.ADDIS 1.16 statistical software was used to perform statistical analysis of the treatment measures and derive the network relationship and ranking diagrams of the various intervention measures.RESULTS A total of 64 randomized controlled trials involving 5456 patients with UC were included in this study.The adjuvant treatment of UC using five TCM formulations was able to improve the clinical outcome of the patients.Adjuvant treatment with Baitouweng decoction(BTWT)showed a significant effect[mean difference=36.22,95%confidence interval(CI):7.63 to 65.76].For the reduction of tumor necrosis factor in patients with UC,adjunctive therapy with BTWT(mean difference=−9.55,95%CI:−17.89 to−1.41),Shenlingbaizhu powder[SLBZS;odds ratio(OR)=0.19,95%CI:0.08 to 0.39],and Shaoyao decoction(OR=−23.02,95%CI:−33.64 to−13.14)was effective.Shaoyao decoction was more effective than BTWT(OR=0.12,95%CI:0.03 to 0.39),SLBZS(OR=0.19,95%CI:0.08 to 0.39),and Xi Lei powder(OR=0.34,95%CI:0.13 to 0.81)in reducing tumor necrosis factor and the recurrence rate of UC.CONCLUSION TCM combined with mesalazine is more effective than mesalazine alone in the treatment of UC.

Network pharmacology and data analysis method to explore the traditional Chinese medicine regulates ferroptosis key genes in the occurrence and prognosis of lupus nephritis

Purpose:To explore the traditional Chinese medicine(TCM)regulates ferroptosis key genes in the occurrence and development of lupus nephritis(LN)based on biological information database.Patients and methods:Ferroptosis related genes were identified based on FerrDb database and literature retrieval.Used the OMIM,Gene Cards,Drug Bank to obtain the targets of LN.Cytoscapes 3.8.2 software and STRING database were used to analyze protein-protein interaction(PPI)network.Metacape software and Weishengxin were used to analyze the gene ontology(GO)classification and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis.UniProt Database and Traditional Chinese Systems Pharmacology Database and Analysis Platform analysis platform were used to obtain the data table of key TCM and related targets.Cytoscapes 3.8.2 software was used to analyze the PPI network.Results:A total of 401 ferroptosis-related genes,361 LN related genes and 21“Ferroptosis-LN”intersection genes were obtained.Ferroptosis in the occurrence and prognosis of LN mainly involved the inflammatory response,cell activation,positive regulation of chemokine production and it was mainly involved in necroptosis,inflammatory bowel disease,ferroptosis and other pathways.A total of 412 TCMs containing key genes of“Ferroptosis-LN”were acquired.The most key genes were contained in Mahuang,Gehua,Baiguo,Chuanniuxi,Jinyinhua.15 key genes of“TCM-LN”were obtained.5 ferroptosis-related key genes in LN regulated by TCM were obtained,which were IL1β,TLR4,IFNG,STAT3 and HMOX1.Conclusion:TCM,such as Mahuang,Gehua,Baiguo,Chuanniuxi,Jinyinhua,may affect the occurrence and development of LN through the key ferroptosis genes,such as IL1B,TLR4,IFNG,STAT3 and HMOX1.

A retrospective study on professor Gui-Qi Xuan’s experience in traditional Chinese medicine treatment on attention-deficit hyperactivity disorder: based on data mining and network pharmacology

Background:To investigate the clinical medication approach of Professor Guiqi Xuan(Prof.Xuan)in treating pediatric patients with attention-deficit hyperactivity disorder(ADHD)and the potential mechanism of the core herbal prescription.Methods:Following medical record information pretreatment,the Traditional Chinese Medicine(TCM)inheritance computing platform system V3.0 was utilized to analyze the standardized data.The associate rules were summarized to identify the core prescription for treating ADHD.The extracted core herbal prescription’s active compounds and potential targets were used to establish a protein-protein interaction network of active ingredient-disease targets.Cytoscape 3.9.1 software was used to analyze the network’s topological parameters to obtain the key active ingredients and their targets.The Bioconductor data package of R4.0.2 was used to analyze the gene ontology biological functions and Kyoto Encyclopedia of Genes and Genomes pathways of key targets.Results:Two hundred and twenty-seven entries derived from TCM record information were selected.Through data mining,it was found that 62.5%of pediatric patients had short-tempered behavior,nearly half had sleep problems,and 30%-40%had picky eating and polyphagia issues.The highest-frequency syndrome type was kidney deficiency and liver hyperactivity.Deficiency,fire,phlegm,and dyspeptic food were the main pathological factors for ADHD.Prof.Xuan’s treatment of ADHD mainly focused on replenishing kidney essence and subduing Yang(active,external,ascending,warm,bright,functional and excited pertain to Yang).The core herbal prescription for ADHD included Yuan-zhi,Yi-zhi,Gui-jia,Bai-shao,Long-chi,Ci-shi,Shi-chang-pu,Yu-jin,Fu-shen,and Huang-jing.The protein-protein interaction network showed that MAOA,ADRB2,FOS,MAOB,and SLC6A3 were the five key targets essential in treating ADHD with core herbal prescriptions.The gene ontology biological function of crucial targets mainly involved G protein-coupled amine receptor activity,catecholamine binding,and neurotransmitter transmembrane transporter activity.Analysis of Kyoto Encyclopedia of Genes and Genomes pathways showed that the dopaminergic synapse signaling and neuroactive ligand-receptor interaction pathways were significantly enriched and may be the primary routes for the main treatment of ADHD.Conclusion:Prof.Xuan’s treatment of ADHD has achieved satisfactory clinical effects by supplementing the kidney,replenishing the essence,opening the orifices,nourishing the Yin(static,internal,descending,cold,dim,organic,depressed and pertain to Yin),and subduing the Yang.The major prescription predominantly affects catecholamine binding,neuroactive ligand-receptor interaction,G protein-coupled amine receptor function,and signaling pathways for dopaminergic synapses.Our findings showed that the methodology and software used in this research could explore and analyze the mechanism behind Prof.Xuan’s clinical medication rule for treating ADHD in children.

Identifying medication regularity of traditional Chinese medicine and potential pharmacological mechanism of Jiedu Sangen decoction in colorectal cancer treatment by data mining and network pharmacology

Objective:Colorectal cancer(CRC)is one of the most common malignancies in the world,and traditional Chinese medicine(TCM)is widely used in its treatment in China.However,the medication rules of TCM for CRC treatment remain unclear.Therefore,data mining combined with network pharmacology was utilized to establish treatment principles and rules.Methods:The CRC cases treated at Zhejiang Provincial Hospital of Chinese Medicine from January 1,2016 to October 31,2021 were analyzed using data mining methods.UPLC-Q/TOF-MS analysis was performed to identify the chemical composition of Jiedu Sangen decoction(JSD).Network pharmacology was used to reveal the therapeutic mechanism of JSD.Results:A total of 312 cases 2,998 prescriptions that met the inclusion criteria used 343 kinds of traditional Chinese medicines.The nature of the herbs used in treatment was mainly warm and mild.The taste was mainly sweet,bitter,and pungent.The meridian tropisms were mainly the spleen meridian,followed by lung and stomach meridians.Tonifying and replenishing herbs were the most frequently used in treatment.High-frequency herbs were classified into 11 categories by cluster analysis,and 42 association rules were obtained by association rule analysis.Combined with complex network analysis,3 core prescriptions for clinical CRC treatment were obtained.Jiedu Sangen decoction contains 64 chemical ingredients,out of which 31 active ingredients were identified,including polydatin,caffeic acid,and glutamic acid,along with 130 potential targets such as AKT1,SRC,and MAPK1.Jiedu Sangen decoction may play a role in regulating inflammation,immunity,metabolism,and hormones in the development of CRC via pathways such as the relaxin signaling pathway,IL-17 signaling pathway,prolactin signaling pathway,and T cell receptor signaling pathway.Conclusions:This study summarizes the treatment and medication principles for clinical CRC treatment,promoting the inheritance and development of the traditional Chinese medical experience.

Modern technology-based exploration of mechanism of traditional Chinese medicine in prevention and treatment of gastric cancer

This review comments on the article“To explore the mechanism of Yigong San anti-gastric cancer and immune regulation”.We are interested that the article applied network pharmacology and bioinformatics techniques to elucidate the mechanism of action of Yigong Sang,a traditional Chinese medicine(TCM),in the treatment of gastric cancer(GC).The mechanism of action of Yigong Sang in the treatment of GC has not yet been elucidated because it is composed of multiple Chinese medicines with multiple components and multiple targets.The emergence of network pharmacology and bioinformatics analysis helps explain the mechanism of action of TCM in preventing and treating GC,and provides a possibility for TCM to transform from empirical to evidence-based medicine.This is of great significance for the application of TCM in oncology,new drug development,formula optimization,and the improvement of clinical efficacy.

The enlightenment of artificial intelligence large-scale model on the research of intelligent eye diagnosis in traditional Chinese medicine

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

Effectiveness and safety of traditional Chinese medicine for diabetic retinopathy:A systematic review and network meta-analysis of randomized clinical trials

BACKGROUND Diabetic retinopathy(DR)is currently recognized as one of the most serious diabetic microangiopathies and a major cause of adult blindness.Commonly used clinical approaches include etiological control,microvascular improvement,and surgical intervention,but they are ineffective and have many side effects.Oral Chinese medicine(OCM)has been used for thousands of years to treat DR and is still widely used today,but it is unclear which OCM is more effective for DR.AIM To estimate relative effectiveness and safety profiles for different classes of OCMs for DR,and provide rankings of the available OCMs.METHODS The search time frame was from the creation of the database to January 2023.RevMan 5.3 and Stata 14.0 software were used to perform the systematic review and Network meta-analyses(NMA).RESULTS A total of 107 studies and 9710 patients were included,including 4767 cases in the test group and 4973 cases in the control group.Based on previous studies and clinical reports,and combined with the recommendations of Chinese guidelines for the prevention and treatment of DR,9 OCMs were finally included in this study,namely Compound Xueshuantong Capsules,Qiming Granules,Compound Danshen Dripping Pills,Hexue Mingmu Tablets(HXMM),Qiju Dihuang Pills(QJDH),Shuangdan Mingmu Capsules(SDMM),Danggui Buxue Decoction(DGBX),Xuefu Zhuyu Decoction and Buyang Huanwu Decoction.When these nine OCMs were analyzed in combination with conventional western medicine treatment(CT)compared with CT alone,the NMA results showed that HXMM+CT has better intervention effect on the overall efficacy of DR patients,HXMM+CT has better effect on improving patients'visual acuity,SDMM+CT has better effect on inhibiting vascular endothelial growth factor,DGBX+CT has better effect on reducing fundus hemorrhage area,HXMM+CT has better effect on reducing fasting blood glucose,and QJDH+CT has better effect on reducing glycated hemoglobin.When there are not enough clinical indicators for reference,SDMM+CT or HXMM+CT treatments can be chosen because they are effective for more indicators and demonstrate multidimensional efficacy.CONCLUSION This study provides evidence that combining OCMs with CT leads to better outcomes in all aspects of DR compared to using CT alone.Based on the findings,we highly recommend the use of SDMM or HXMM for the treatment of DR.These two OCMs have demonstrated outstanding efficacy across multiple indicators.

Effectiveness and safety of traditional Chinese medicine decoction for diabetic gastroparesis:A network meta-analysis

BACKGROUND Diabetic gastroparesis(DGP)is a prevalent complication of diabetes that impairs people's quality of life and places a significant financial burden on them.The gastrointestinal symptoms of DGP patients can be improved by several Traditional Chinese Medicine(TCM)decoctions that have been shown to be effective in treating the disease.There are still many unanswered questions regarding the identification of appropriate therapeutic agents for the treatment of DGP in clinical practice.AIM To analyze the efficacy of several TCM decoctions in the treatment of DGP using Bayesian network meta-analysis for reference.METHODS PubMed,EMBASE,Cochrane Library,Web of Science,China National Knowledge Infrastructure,The China Biology Medicine DVD,Wanfang,and CQVIP were searched from inception to September 17,2022,to collect randomized controlled trials(RCTs)about TCM decoctions for DGP.Clinical effects and symptom scores were the primary outcomes.Additionally,we assessed motilin(MOT),somatostatin(SS),gastrin(GAS),gastric emptying rate,gastric emptying time,and adverse drug events as secondary outcomes.RESULTS A total of 67 eligible RCTs involving 4790 DGP patients and 7 TCM decoctions were included.The results of network meta-analysis(NMA)and surface under the cumulative ranking curve showed that with western medicine(WM)as a common control,the Banxia Xiexin Decoction(BXXD)+WM was most effective in clinical effects and enhancing early satiety scores;the Simo decoction(SMD)+WM was most effective in improving nausea and vomiting scores and anorexia scores,bloating scores;the Chaishao Liujunzi Decoction(CSLJD)was most effective in MOT,the Zhishi Xiaopi Decoction(ZSXPD)was most effective in SS and upgrading emptying rate;the Jianpi Xiaozhi Decoction was most effective in GAS;the CSLJD+WM was most effective in improving gastric emptying time.CONCLUSION These NMA results suggest that the BXXD+WM and SMD+WM may be one of the potential optimal treatments.Due to various limitations,further large-sample,double-blind,multi-center randomized RCTs are needed.

Methodological survey of using Bayesian Network for predicting pharmacology-based bioactivities of Chinese medicines:a scoping review

Background:It seems to be numerous unclear black-box mechanisms of Chinese Medicines(CMs)with multiple bioactivities in the real-world clinical practice.Meanwhile,prior prediction is necessary before the implementation of pharmacodynamics-pharmacokinetics-based researches.With emergent ML techniques for TCM domain,Bayesian Network(BN)has shown its potentials for CM-bioactivity prediction and syndromes identification in Traditional Chinese Medicine(TCM),benefited from many advantages,such as flexibility in addressing,data-driven and probability-based inference under complex uncertainty.Although BN has been extensively used in TCM,the scarcity of researches on refining methodological features of BN-modelling for optimization poses a significant challenge.Our goal is to present methodological overview of BN-modelling for CM-bioactivities prediction towards pharmacology,which tends to acquire a sequence of intimations for boosting in-depth and optimized CM-BN collaboration based on detected gaps.Methods:We performed systematic search of 13 databases from their inception to November 10th 2022 regardless of language written,which excluded unindexed journals and clinical trial registries,using the 3 keywords(CM,Pharmacology,BN).And full-text original researches with the given subject were under consideration.Afterwards,selection of eligible studies,data refinement and inspection were totally conducted by 6 review authors.Results:A total of 7 studies involving 17 BN models were included for synthesis and refinement,based on existing literatures and databases with 2 modelling functions:regression and tagging.There were 3 prediction patterns:property-bioactivity,efficacy-bioactivity and constituent-bioactivity inference,covering 8 feature-utilized efficacies,5 feature-utilized properties and 10 feature-utilized constituents.Thereafter,without an independent validation dataset,established BNs were mostly utilized to predict the root-node probabilities of unknown data.Indeed,incomplete report on modelling samples,directed acyclic graphs,conditional probability tables and algorithms hindered us from gathering information.Conclusion:A spot of studies were found in this work.And current evidence suggested that some breakthroughs should be achieved in CM-BN integration in the future.At last,to our knowledge,we preliminarily proposed certain recommendations and elicited implications for future work.

Discovering the efficacy and mechanism of Chinese herbal medicine for distal symmetric polyneuropathy via integrating meta-analysis and network pharmacology analysis

Objective Chinese herbal medicine(CHM)has been commonly used in Distal Symmetric Polyneuropathy(DSPN)treatment with satisfactory clinical effects,but the underlying pharmacological mechanism of CHM on DSPN remains unclear.We aimed to identify frequently used clinically effective CHM and its potential pharmacological mechanisms for DSPN by conducting meta-analysis and network pharmacology analysis.Methods We searched both Chinese and English databases from March 1990 to October 2022.Studies that met the inclusion criteria were selected for meta-analysis.After extracting the relevant data,we performed meta-analysis and frequency analysis.The active compounds and predicted targets of high-frequency herbs and DSPN-related targets were extracted from public databases.Then we conducted network construction,Gene Ontology(GO)enrichment,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis to discover the potential pharmacological mechanisms.Results Sixteen articles were selected for meta-analysis,and nine high-frequency CHMs were identified,including Radix Astragali seu Hedysari,Rhizoma Ligustici,Caulis Spatholobi,Radix Salviae Miltiorrhizae,Radix Paeoniae Alba,Flos Carthami,Radix Notoginseng,Radix Rehmanniae Recens,Rhizoma Corydalis.Fourteen hub targets including STAT3,CTNNB1,MAPK14,SRC,AKT1,TP53,EGFR,JUN,RELA,MAPK1,FOS,CCND1,HSP90AA1,MYC,and ten active compounds including Quercetin,Kaempferol,Luteolin,Apigenin,beta-sitosterol,Stigmasterol,Caffeic Acid,Aeginetic Acid,Vanillin,and Lauric Acid were identified by network analysis.Enrichment analysis showed that the biological process of hub targets included transcriptional regulation,cell proliferation,redox processes,apoptosis processes,ERK1 and ERK2 cascades,hypoxia reactions,MAPK cascades,and inflammatory responses.The main signalling pathways included HIF,TNF,and PI3K-AKT pathways.Conclusion Nine herbs were involved in the clinical therapeutic effect of CHM on DSPN treatment,and they may exert an anti-DSPN effect by regulating cell proliferation,apoptosis,and redox processes.

Matching traditional Chinese medicine and western medicine-based research:Advanced nutraceutical development for proactive gastric cancer prevention

Gastric cancer(GC),the third leading cause of cancer-related death globally,is complex and heterogeneous.This review explores multidisciplinary investigations of traditional Chinese medicine(TCM)combined with Western medical practices,emphasizing the development of nutraceuticals for cancer prevention.Using advanced analytical chemistry and food chemistry techniques,this study investigated how TCM components may be optimized for nutraceutical development.Focusing on molecular interactions with GC pathways,particularly the NF-κB,PI3K/Akt,and Wnt/β-catenin pathways,we examined the effects of TCM polyherbal formulas,extracts,and isolated compounds.These agents modulate apoptosis and cellular proliferation,underscoring their potential in preventive strategies.The convergence of nutraceutical and medicine food homology studies highlights a significant shift towards integrating TCM-derived compounds in a preventive health framework.This approach aims not only to enhance efficacy and reduce side effects but also to champion a preventive paradigm using personalized medicine to advance proactive health maintenance and disease prevention.The combination of TCM and western medical practices offers promising avenues for future research and practical applications in GC prevention.

Network pharmacology combined with molecular docking revealed the potential targets of Coridius chinensis in prostate cancer treatment

BACKGROUND Prostate cancer(PCa)has high morbidity and mortality rates in elderly men.With a history of thousands of years,traditional Chinese medicine derived from insects could be an important source for developing cancer-targeted drugs to prevent tumorigenesis,enhance therapeutic effects,and reduce the risk of recurrence and metastasis.Multiple studies have shown that Coridius chinensis(Cc)has anticancer effects.AIM To elucidate the mechanism of action of Cc against PCa via network pharma-cology and molecular docking.METHODS Potential targets for Cc and PCa were predicted using ChemDraw 19.0 software,the PharmMapper database and the GeneCards database.Then,the STRING database was used to construct the protein–protein interaction network.Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment and molecular docking analyses were subsequently conducted to identify the key targets,active ingredients and pathways involved.RESULTS GO and KEGG analyses indicated that the PI3K-Akt signalling pathway was the critical pathway(P value<1.0×10-8).Multiple targeting ingredients that can affect multiple pathways in PCa have been identified in Cc.Seven active compounds(asponguanosines A,asponguanine B,asponguanine C,aspong-pyrazine A,N-acetyldopamine,aspongadenine B and aspongpyrazine B)were selected for molecular docking with 9 potential targets,and the results revealed that aspongpyrazine A and asponguanosine A are the main components by which Cc affects PCa(affinity<-5 kcal/mol,hydrogen bonding),but more studies are needed.CONCLUSION We used network pharmacology to predict the bioactive components and important targets of Cc for the treatment of PCa,supporting the development of Cc as a natural anticancer agent.

Network pharmacology-based exploration of molecular mechanisms underlying therapeutic effects of Jianpi Huatan Quyu recipe on chronic heart failure with spleen Qi deficiency syndrome

BACKGROUND Chronic heart failure is a complex clinical syndrome.The Chinese herbal compound preparation Jianpi Huatan Quyu recipe has been used to treat chronic heart failure;however,the underlying molecular mechanism is still not clear.AIM To identify the effective active ingredients of Jianpi Huatan Quyu recipe and explore its molecular mechanism in the treatment of chronic heart failure.METHODS The effective active ingredients of eight herbs composing Jianpi Huatan Quyu recipe were identified using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform.The target genes of chronic heart failure were searched in the Genecards database.The target proteins of active ingredients were mapped to chronic heart failure target genes to obtain the common drugdisease targets,which were then used to construct a key chemical componenttarget network using Cytoscape 3.7.2 software.The protein-protein interaction network was constructed using the String database.Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed through the Metascape database.Finally,our previously published relevant articles were searched to verify the results obtained via network pharmacology.RESULTS A total of 227 effective active ingredients for Jianpi Huatan Quyu recipe were identified,of which quercetin,kaempferol,7-methoxy-2-methyl isoflavone,formononetin,and isorhamnetin may be key active ingredients and involved in the therapeutic effects of TCM by acting on STAT3,MAPK3,AKT1,JUN,MAPK1,TP53,TNF,HSP90AA1,p65,MAPK8,MAPK14,IL6,EGFR,EDN1,FOS,and other proteins.The pathways identified by KEGG enrichment analysis include pathways in cancer,IL-17 signaling pathway,PI3K-Akt signaling pathway,HIF-1 signaling pathway,calcium signaling pathway,cAMP signaling pathway,NF-kappaB signaling pathway,AMPK signaling pathway,etc.Previous studies on Jianpi Huatan Quyu recipe suggested that this Chinese compound preparation can regulate the TNF-α,IL-6,MAPK,cAMP,and AMPK pathways to affect the mitochondrial structure of myocardial cells,oxidative stress,and energy metabolism,thus achieving the therapeutic effects on chronic heart failure.CONCLUSION The Chinese medicine compound preparation Jianpi Huatan Quyu recipe exerts therapeutic effects on chronic heart failure possibly by influencing the mitochondrial structure of cardiomyocytes,oxidative stress,energy metabolism,and other processes.Future studies are warranted to investigate the role of the IL-17 signaling pathway,PI3K-Akt signaling pathway,HIF-1 signaling pathway,and other pathways in mediating the therapeutic effects of Jianpi Huatan Quyu recipe on chronic heart failure.

Exploring the molecular mechanism of Suoquan pill in the treatment of diabetic kidney disease based on network pharmacology,molecular docking,in vitro experiment

Background:Diabetic kidney disease(DKD)is a microvascular complication of diabetes mellitus and is the main cause of end-stage renal failure.Suoquan pills(SQP)has a variety of pharmacological activities and multiple therapeutic effects,and it is used clinically as a basic formula for the treatment of DKD.Methods:Public databases were used to identify SQP compounds and the potential targets of SQP and DKD.A drug-component-therapeutic target network was constructed.Protein-protein interaction network analysis,Gene Ontology functional analysis,and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were used to analyse the potential molecular mechanisms of SQP based on common targets of drugs and diseases.Molecular docking simulations were conducted to confirm the binding abity of the core compounds to key targets.The efficacy and predicted molecular mechanisms of SQP were validated using cell counting kit-8 assay,flow cytometry,and western blotting with HK-2 cells as a model.Results:Network pharmacology analysis showed that 26 compounds and 207 potential targets of SQP were involved in the treatment of DKD;boldine,denudatin B,pinocembrin,kaempferoid,and quercetin were considered core compounds,and epidermal growth factor receptor(EGFR)and proto-oncogene,non-receptor tyrosine kinase(SRC)were considered key targets.Gene Ontology enrichment analysis indicated that protein phosphorylation and negative regulation of apoptotic processes are important biological processes in the treatment of DKD by SQP.Molecular docking confirmed the excellent binding abilities of boldine,denudatin B,kaempferide,and quercetin to EGFR and SRC.The results of in vitro experiments showed that treatment with an ethanolic extract of SQP significantly protected HK-2 cells from high glucose-induced cell damage.In addition,the SQP ethanol extract inhibited the phosphorylation of EGFR and SRC,suppressed the apoptosis rate,and regulated apoptosis-related proteins in HK-2 cells under high glucose stress.Conclusion:This study systematically and intuitively illustrated the possible pharmacological mechanisms of SQP against DKD through multiple components,targets,and signalling pathways,especially the inhibition of EGFR and SRC phosphorylation and apoptosis.

Enhancing ulcerative colitis treatment with traditional Chinese medicine

Inflammatory bowel disease,particularly ulcerative colitis(UC),poses significant treatment challenges due to its chronic nature and potential for severe complications.This editorial reviews a recent network meta-analysis that evaluated the efficacy of and highlighted the superior outcomes achieved by combining each of five traditional Chinese medicine(TCM)formulations with mesalazine for the adjuvant treatment of UC.Clinical outcomes included enhanced mucosal healing,improved quality of life,and reduced recurrence rates.Additionally,the combination therapy resulted in a lower incidence of adverse reactions compared with mesalazine monotherapy.Despite these promising results,limitations such as variability in study quality and TCM dosage highlight the need for further highquality,large-sample,multicenter randomized controlled trials.This editorial underscores the potential of TCM in enhancing UC management and calls for more rigorous research to substantiate these findings and refine clinical guidelines.

The basic core traditional C hinese medicine for the prevention and treatment of COVID-19 and its active mechanisms

Background:COVID-19 has had a dramatic impact on human health,economies,societies,and livelihoods around the world.Traditional Chinese medicine(TCM)formulae have played an important role in the prevention and treatment of COVID-19.WHO evaluated the role of TCM in treating of COVID-19 and encouraged other countries to promote the use of TCM formulae.However,the key is to find the basic core traditional Chinese medicine(BC-TCM)among those formulae.Methods:For the first time,we mined the data of TCM formulae in CNIPA and analyzed herb characteristics and association rules.We then determined the BC-TCM and screened main compounds and therapeutic targets.Finally,the potential molecular mechanisms were explored by using enrichment analyses and molecular docking.Results:This study screened 123 patented TCM formulae,including 312 herbs.According to frequency statistics and association rules,nine herbs(Gan Cao,Jin Yinhua,Guang Huoxiang,Fu Ling,Huang Qi,Jie Geng,Lian Qiao,Cang Zhu,Ku Xingren)were selected as the BC-TCM.The BC-TCM involved 166 main compounds and 48 therapeutic targets.The active compounds Hederagenin,Spinasterol,Beta-sitosterol,and Liquiritin had high binding activity to the COVID-19 targets 3CL,ACE2,and core targets RELA,HSP90AA1,STAT3,MAPK3,and TP53 according to molecular docking results.Interestingly,Hederagenin might be a potential compound for the prevention and treatment of COVID-19.Conclusion:Our research predicted and confirmed the preventive therapeutic effect of BC-TCM on COVID-19.This has the potential to broaden the scope of TCM,guide people in using clinical formulae,and provide valuable insights for future TCM discovery research.

Application of network pharmacology in the prevention and treatment of COVID-19 by traditional Chinese medicine

Network pharmacology is an emerging technology based on systems biology and computer information technology,with the help of databases and related auxiliary software,to carry out new drug development and the screening analysis of drug active ingredients and targets.At present,the network pharmacology has been used widely in the research of prevention and treatment drugs for coronavirus disease 2019(COVID-19).This paper reviews the research methods of network pharmacology in the field of prevention and treatment of COVID-19 by traditional Chinese medicine(TCM)and the development of its specific drugs and further explores the concrete application ideas of this technology.The necessary databases and tools of necessary for screening the active components and targets to molecular docking are summarized.In addition,the practical application of network pharmacology in the study of several potential TCM and active components against COVID-19 is reviewed,mainly including the screening of active components,the discovery of target,and the elucidation of action mechanism.The diversification of research ideas of network pharmacology in the field of TCM was realized,in particular,with two specific ideas in the study of active ingredients of TCM.Finally,the difference of control effect among several TCM and Western medicines on COVID-19 and the limitation and challenge of network pharmacology in TCM,i.e.,the insufficient integrity and accuracy of the database,the uncertain complexity of components analysis,the unclear mechanism of component-target action,and some new challenges due to the characteristics of TCM,are discussed.In view of the importance of TCM in the field of control of COVID-19,the combination of TCM and network pharmacology will continue to play an important role in the development of specific drugs of COVID-19 in the future,in particular,to save time and reduce the workload of drug developers,which is also a direction of TCM development.This study provides theoretical reference and methodological basis for the prevention and treatment of COVID-19 by TCM.

Traditional Chinese medicine for transformation of gastric precancerous lesions to gastric cancer:A critical review

Gastric cancer(GC)is a common gastrointestinal tumor.Gastric precancerous lesions(GPL)are the last pathological stage before normal gastric mucosa transforms into GC.However,preventing the transformation from GPL to GC remains a challenge.Traditional Chinese medicine(TCM)has been used to treat gastric disease for millennia.A series of TCM formulas and active compounds have shown therapeutic effects in both GC and GPL.This article reviews recent progress on the herbal drugs and pharmacological mechanisms of TCM in preventing the transformation from GPL to GC,especially focusing on antiinflammatory,anti-angiogenesis,proliferation,and apoptosis.This review may provide a meaningful reference for the prevention of the transformation from GPL to GC using TCM.

Dissecting the underlying pharmaceutical mechanism of traditional Chinese medicine Wenxin Keli acting on atrial fibrillation through network pharmacology

As a well-known Chinese medicine prescription, Wenxin Keli (WXKL) has been widely used in the treatment of many arrhythmias including atrial fibrillation and has achieved significant clinical effects, but the specific mechanism of its treatment of atrial fibrillation remains unclear. This study used a network pharmacology approach to reveal the potential molecular mechanisms of WXKL in the treatment of atrial fibrillation. It involves oral bioavailability screening of ingredients, drug-likeness evaluation, compound target fishing, H-C-T network and C-T-P network construction and analysis. Through the network pharmacology-based research strategy, the complex system of WXKL was analyzed. It was found that 14 representative compounds of WXKL, 30 protein targets and 12 related signaling pathways help us systematically understand the underlying mechanism of WXKL’s anti-atrial fibrillation effects.

Research Progress of Traditional Chinese Medicine in Treating Irritable Bowel Syndrome Based on Network Pharmacology and Molecular Docking Technology

In recent years,using network pharmacology and molecular docking technology to reveal the therapeutic targets of irritable bowel syndrome(IBS)has become a research hotspot.This paper summarizes 31 studies of traditional Chinese medicine for IBS by domestic and foreign scholars,and expounds the action mechanism of single drug,drug pair and compound prescription in the treatment of IBS from the aspects of drug activity,action target,biological process and pathway analysis.It also discusses the shortcomings and prospects of network pharmacology and molecular docking technology in the field of traditional Chinese medicine research,and provides reference for expanding the research ideas of traditional Chinese medicine in treating IBS.